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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all namespace typedefs with links to the namespace documentation for each typedef:</div>

<h3><a id="index_b" name="index_b"></a>- b -</h3><ul>
<li>BinaryCD&#160;:&#160;<a class="el" href="namespaceshark.html#a32386277e73e15aeb82f69b65caee4e1">shark</a></li>
<li>BinaryGibbsChain&#160;:&#160;<a class="el" href="namespaceshark.html#a128e7dfb9e801884c564041c7a94cf67">shark</a></li>
<li>BinaryGibbsOperator&#160;:&#160;<a class="el" href="namespaceshark.html#a565993b49f4a27cc5ab86c98e8a529ba">shark</a></li>
<li>BinaryParallelTempering&#160;:&#160;<a class="el" href="namespaceshark.html#acc58077ded078a231f1ab31d8df09e1f">shark</a></li>
<li>BinaryPCD&#160;:&#160;<a class="el" href="namespaceshark.html#a9a4336725d34507abde036518b275a25">shark</a></li>
<li>BinaryPTChain&#160;:&#160;<a class="el" href="namespaceshark.html#ac20562dfec658670575885147d0f0cb4">shark</a></li>
<li>BinaryRBM&#160;:&#160;<a class="el" href="namespaceshark.html#a392fb3f637ce725f375fe425a3197135">shark</a></li>
<li>BinarySpace&#160;:&#160;<a class="el" href="namespaceshark.html#a8a5ee5bdc1905b114d0af1276677f9ff">shark</a></li>
<li>BipolarCD&#160;:&#160;<a class="el" href="namespaceshark.html#a456f76720703e4616986d59da373be36">shark</a></li>
<li>BipolarGibbsChain&#160;:&#160;<a class="el" href="namespaceshark.html#aabd116370274889403e1622125318d7e">shark</a></li>
<li>BipolarGibbsOperator&#160;:&#160;<a class="el" href="namespaceshark.html#a45d03388beb8ae184dd97fab87e6e9ed">shark</a></li>
<li>BipolarParallelTempering&#160;:&#160;<a class="el" href="namespaceshark.html#a3bf2e428f4f9df6a261e37b5e083debe">shark</a></li>
<li>BipolarPCD&#160;:&#160;<a class="el" href="namespaceshark.html#a4c5cd7b1f9888263198b7ee892a0f2cc">shark</a></li>
<li>BipolarPTChain&#160;:&#160;<a class="el" href="namespaceshark.html#a970779c400fec3d75fe607a4a39aa6c2">shark</a></li>
<li>BipolarRBM&#160;:&#160;<a class="el" href="namespaceshark.html#af2d2f857792350aa55236e73562700e2">shark</a></li>
</ul>


<h3><a id="index_c" name="index_c"></a>- c -</h3><ul>
<li>ClassificationDataset&#160;:&#160;<a class="el" href="namespaceshark.html#a3bbb2342e6c3a856ef63e37f8a02396a">shark</a></li>
<li>CompressedARDKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a5f6796422f02fa2211fb82940b663779">shark</a></li>
<li>CompressedClassificationDataset&#160;:&#160;<a class="el" href="namespaceshark.html#a128a525b1a4e4dc58a28fda534874ef7">shark</a></li>
<li>CompressedLinearKernel&#160;:&#160;<a class="el" href="namespaceshark.html#aa4c6938fc2d8d7b1d99444fa813f8536">shark</a></li>
<li>CompressedModelKernel&#160;:&#160;<a class="el" href="namespaceshark.html#ac3f7f365f5e51dcdd2c0027c53305441">shark</a></li>
<li>CompressedMonomialKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a30f353e45c9c924d3c61f9c6b56454ce">shark</a></li>
<li>CompressedNormalizedKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a8d0c4a3e744bf840fad2dea6703d25c1">shark</a></li>
<li>CompressedPolynomialKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a3228d5da0bcf8ca8dbb84c75d820373c">shark</a></li>
<li>CompressedRbfKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a5f65fb8c716acb1e0c93a138dccfc7bf">shark</a></li>
<li>CompressedScaledKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a03fb3f1bf61b1a3122c9aa611b27dd6a">shark</a></li>
<li>CompressedWeightedSumKernel&#160;:&#160;<a class="el" href="namespaceshark.html#aa7a6815d06144becc2cb687ea6b36a89">shark</a></li>
<li>CompressesSubrangeKernel&#160;:&#160;<a class="el" href="namespaceshark.html#aefea6fa9f7fe9c45eeb2715cab40dbd6">shark</a></li>
<li>CrowdingRealCodedNSGAII&#160;:&#160;<a class="el" href="namespaceshark.html#a648838fe86b035710923cc2ff7fd013a">shark</a></li>
</ul>


<h3><a id="index_d" name="index_d"></a>- d -</h3><ul>
<li>DenseARDKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a6443de21244acfe1ec9632d758d42ae9">shark</a></li>
<li>DenseLinearKernel&#160;:&#160;<a class="el" href="namespaceshark.html#aad6c4cc2505e8eb1609a94e05e03801e">shark</a></li>
<li>DenseModelKernel&#160;:&#160;<a class="el" href="namespaceshark.html#acbdc761c050ae32d5da8ed1f71cd408e">shark</a></li>
<li>DenseMonomialKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a7c62019e733019a218277a3bf0e575d5">shark</a></li>
<li>DenseNormalizedKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a4a0643d3202bdedd0cb94d45be2936f3">shark</a></li>
<li>DensePolynomialKernel&#160;:&#160;<a class="el" href="namespaceshark.html#ac00959e57ceed802f82ac4b2baccb379">shark</a></li>
<li>DenseRbfKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a09f059e53dac8fd56b4f68c068d0128a">shark</a></li>
<li>DenseScaledKernel&#160;:&#160;<a class="el" href="namespaceshark.html#abd0d6b31c93a8b7846a00ff9eb634702">shark</a></li>
<li>DenseSubrangeKernel&#160;:&#160;<a class="el" href="namespaceshark.html#ab20663bec1e12ec9b4bb82f6f1a42307">shark</a></li>
<li>DenseWeightedSumKernel&#160;:&#160;<a class="el" href="namespaceshark.html#a20ac8f44e864d15b5c49ab113954b1b2">shark</a></li>
</ul>


<h3><a id="index_e" name="index_e"></a>- e -</h3><ul>
<li>EpsilonMOCMA&#160;:&#160;<a class="el" href="namespaceshark.html#a7ba4e5c23c82ae15d95329ab392c7c7c">shark</a></li>
<li>EpsilonSteadyStateMOCMA&#160;:&#160;<a class="el" href="namespaceshark.html#a7f1e1d20cbd60f97acfe5b21bb2d4a15">shark</a></li>
<li>EpsRealCodedNSGAII&#160;:&#160;<a class="el" href="namespaceshark.html#a4d7afd4c5d7317068800c3c1f9849dd9">shark</a></li>
</ul>


<h3><a id="index_f" name="index_f"></a>- f -</h3><ul>
<li>FloatGPUMatrix&#160;:&#160;<a class="el" href="namespaceshark.html#ab46f8cfe462fa8d9fe5b2256cdf8dd2d">shark</a></li>
<li>FloatGPUVector&#160;:&#160;<a class="el" href="namespaceshark.html#a040828eb31ba9595c55ae0487ffe5915">shark</a></li>
</ul>


<h3><a id="index_g" name="index_g"></a>- g -</h3><ul>
<li>GaussianBinaryCD&#160;:&#160;<a class="el" href="namespaceshark.html#aa9dfa8912f1c71431ada7908610a3795">shark</a></li>
<li>GaussianBinaryGibbsChain&#160;:&#160;<a class="el" href="namespaceshark.html#a19becc8efa560d0ec116867617d549a4">shark</a></li>
<li>GaussianBinaryGibbsOperator&#160;:&#160;<a class="el" href="namespaceshark.html#a1a4e1665c12dacf2d65120c28477195b">shark</a></li>
<li>GaussianBinaryParallelTempering&#160;:&#160;<a class="el" href="namespaceshark.html#adf4f4d79ee9c40fd93270074364b6641">shark</a></li>
<li>GaussianBinaryPCD&#160;:&#160;<a class="el" href="namespaceshark.html#a1c686422c005425887d44422d96ea4c4">shark</a></li>
<li>GaussianBinaryPTChain&#160;:&#160;<a class="el" href="namespaceshark.html#a6780bc2e16ee2a9fd244d5018c1da9db">shark</a></li>
<li>GaussianBinaryRBM&#160;:&#160;<a class="el" href="namespaceshark.html#a1698d2fe7a2cb6c95797949416e49b5f">shark</a></li>
</ul>


<h3><a id="index_i" name="index_i"></a>- i -</h3><ul>
<li>InArchive&#160;:&#160;<a class="el" href="namespaceshark.html#ada68729491840669e47c8ad42282424f">shark</a></li>
<li>IndividualType&#160;:&#160;<a class="el" href="namespaceexample.html#a767279e41fda5517fbdd8a3fb9cd8797">example</a></li>
</ul>


<h3><a id="index_m" name="index_m"></a>- m -</h3><ul>
<li>MOCMA&#160;:&#160;<a class="el" href="namespaceshark.html#a03e4b3652cefe55a9af74a310c0a2821">shark</a></li>
<li>MultiObjectiveFunction&#160;:&#160;<a class="el" href="namespaceshark.html#a479ba1cc78a4860f185536fe6f281cab">shark</a></li>
</ul>


<h3><a id="index_o" name="index_o"></a>- o -</h3><ul>
<li>OutArchive&#160;:&#160;<a class="el" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524">shark</a></li>
</ul>


<h3><a id="index_p" name="index_p"></a>- p -</h3><ul>
<li>PermutationMatrix&#160;:&#160;<a class="el" href="namespaceshark.html#adc697d72baef59f89786a0511b7dda41">shark</a></li>
<li>Population&#160;:&#160;<a class="el" href="namespaceexample.html#a454de5897c467e1fbd4f372d2b1933de">example</a></li>
<li>Preference&#160;:&#160;<a class="el" href="namespaceshark.html#a8e65279a37185756281cefcc975b5aba">shark</a></li>
</ul>


<h3><a id="index_r" name="index_r"></a>- r -</h3><ul>
<li>RealCodedNSGAII&#160;:&#160;<a class="el" href="namespaceshark.html#aec29b419bad94c877d9ef2d5b3dfae3a">shark</a></li>
<li>RealGPUMatrix&#160;:&#160;<a class="el" href="namespaceshark.html#a4a576457910eb7951d90c71f07a8915c">shark</a></li>
<li>RealGPUVector&#160;:&#160;<a class="el" href="namespaceshark.html#afe8b2b643da793e43545c57ebddf8a53">shark</a></li>
<li>RecreationIndices&#160;:&#160;<a class="el" href="namespaceshark.html#a26c31934671564b8b69e260e23be0b90">shark</a></li>
<li>RegressionDataset&#160;:&#160;<a class="el" href="namespaceshark.html#a27ed34d2804fdd8aa6f911e2a43b6bb4">shark</a></li>
</ul>


<h3><a id="index_s" name="index_s"></a>- s -</h3><ul>
<li>Sequence&#160;:&#160;<a class="el" href="namespaceshark.html#a0053d41c51898aefe3842e4795c7df79">shark</a></li>
<li>SingleObjectiveFunction&#160;:&#160;<a class="el" href="namespaceshark.html#ac9bc8d3d1ae0af07b6957a638ce5f01b">shark</a></li>
<li>SteadyStateMOCMA&#160;:&#160;<a class="el" href="namespaceshark.html#a88c225813115d0d560119aa949a09898">shark</a></li>
<li>SymmetricBinarySpace&#160;:&#160;<a class="el" href="namespaceshark.html#ad0146c806dde7f6ecb87da66f18bda68">shark</a></li>
</ul>


<h3><a id="index_t" name="index_t"></a>- t -</h3><ul>
<li>TextInArchive&#160;:&#160;<a class="el" href="namespaceshark.html#a6f48143a0c7325c21ba66a3bc8476d3c">shark</a></li>
<li>TextOutArchive&#160;:&#160;<a class="el" href="namespaceshark.html#a3ee606ad9943b4d15d36f74f5d3319d1">shark</a></li>
</ul>
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